Research Associate – AI-Driven Process Optimization for Smart Manufacturing

ETH Zurich, Switzerland

Updated: 3 days ago
Job Type: Permanent

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Research Associate – AI-Driven Process Optimization for Smart Manufacturing
100%, Zurich, fixed-term
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Do you want to shape the future of AI-driven manufacturing? Are you eager to apply cutting-edge machine learning and optimization techniques to real-world industrial challenges?
Join inspire AG, Switzerland’s leading competence center for product innovation and advanced manufacturing. As a strategic partner of ETH Zurich, we transfer knowledge and technology from research into the Swiss machine, electrical, and metal industries, driving AI-powered innovation in manufacturing.
 
The Machine Concepts research group at inspire AG, in collaboration with the Chair of Artificial Intelligence in Mechanics and Manufacturing (AIMM) at ETH Zurich, is offering a position in the field of AI-driven process optimization for smart manufacturing.

Project background
Our research focuses on applying machine learning and optimization methods in the manufacturing domain. Our goal is to develop efficient methods for selecting process parameters, building condition-based maintenance approaches, and investigating human-machine interactions.

Job description
We are looking for a highly motivated researcher to push the boundaries of AI-driven process optimization in manufacturing. In this multi-year research project, you will:
  • Develop AI-based optimization methods to enhance industrial manufacturing processes
  • Design and implement cutting-edge machine learning models for process parameter selection
  • Reduce experimental effort with transfer learning and prior knowledge
  • Collaborate with leading Swiss industry partners and apply AI to real-world problems
  • Validate and refine methods using real industrial data
 

Profile

Education & Background:

  • A Master’s degree (ETH, university) in engineering, computer science, or a related field
  • A strong academic record, meeting ETH Zurich’s PhD admission requirements

Technical skills:

  • Experience in machine learning, optimization, or AI-driven decision-making
  • Preferably knowledge of Bayesian optimization or Gaussian processes
  • Programming experience (Python, MATLAB, or similar)

Soft Skills:

  • Highly self-organized, structured, and motivated to explore new techniques
  • Strong problem-solving mindset and willingness to tackle complex challenges
  • Ability to collaborate in a dynamic team with a creative and positive mindset
  • Fluency in English (German is an advantage, French is a plus)

Eligibility:

  • Swiss/EU/EFTA citizenship or a valid Swiss work permit

 



Workplace

Workplace

We offer
This is a full-time research position with the opportunity to pursue a PhD at ETH Zurich. You will have the chance to work hands-on with Swiss industry leaders, applying your research directly to real-world manufacturing challenges. The position offers a unique interdisciplinary research environment, where AI and industrial innovation intersect. Additionally, this role provides strong career growth opportunities in cutting-edge AI applications for manufacturing

 



Curious? So are we.

Please send your cover letter, transcripts, CV, and references to Dr. Markus Maier, Head of Machine Concepts, inspire AG (markus.maier@inspire.ch ).

 

Learn more about us at: www.inspire.ch and https://mohr.ethz.ch/ .



Curious? So are we.

Please send your cover letter, transcripts, CV, and references to Dr. Markus Maier, Head of Machine Concepts, inspire AG (markus.maier@inspire.ch ).

 

Learn more about us at: www.inspire.ch and https://mohr.ethz.ch/ .


Apply online now
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